Contexi let you interact with entire codebase or data with context using a local LLM on your system.
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Updated
Oct 18, 2024 - Python
Contexi let you interact with entire codebase or data with context using a local LLM on your system.
Final project of the LLM Zoomcamp course: https://github.com/DataTalksClub/llm-zoomcamp. LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks I learned how to build an AI system that answers questions about a knowledge base.
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.
SOTA Re-identification Methods and Toolbox
Torchreid: Deep learning person re-identification in PyTorch.
An Unsupervised Distance Learning Framework for Multimedia Retrieval
The official code for the "System Combination via Quality Estimation for Grammatical Error Correction" paper, published in EMNLP 2023.
Official repository of ICCV21 paper "Viewpoint Invariant Dense Matching for Visual Geolocalization"
Code for "Are Local Features All You Need for Cross-Domain Visual Place Recognition?" CVPR IMW 2023.
[RA-L 2023] Official Repository of "Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization", RA-L, Volume 8, Issue 5, May 2023
This repository contains the code of the paper Multi-Camera Person Re-Identification using Spatiotemporal Context Modeling
The repository for the course 'Web Information Retrieval'(https://digital-sciences.de/en/modules/web-information-retrieval/) under the Digital Sciences Master's Degree at TH Köln.
[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)
Official implementation of "Confidence-Aware Active Feedback for Interactive Instance Search".
Expert Finding in Legal Community Question Answering - Accepted at ECIR 2022.
To implement reranking techniques for recommendation system and search engine.
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